| I&T Solution |
The Use of Artificial Intelligence (AI) and Drone to Assist with External Wall Inspection for Government Buildings
(REF: S-0670) |
| Trial Project |
|
| Solution Feature |
- Dedicated sensors are installed on the drone to detect the defects on the outer wall of the government building automatically using AI technology.
- Surfel-based perception technology is implemented on the drone platform to achieve real-time mapping and obstacle avoidance in all directions. Strong anti-wind function is equipped to ensure the stability and safety of the drone, with wind resistance of up to 15m/s and Ingress Protection Rating of IP45.
- The wireless network function of the drone will support high-speed data transmission and encrypted by the AES-256 encryption to ensure data security.
- Multiple deep learning models are available to select for detecting different kinds of defects on the building.
|
| Trial Application and Expected Outcome |
- The test trial can be conducted at the government building of EMSD or CYT Building of HKUST, so that staff can test the UAV system and verify its effectiveness.
- The inspection effect of the solution can be compared with the inspection work done by human.
- If the inspection effect is similar or better than human does, the UAV based inspection system can be tested at other government building.
- If the inspection effect is similar or better than human does, the UAV based inspection system can be tested at other government building.
- The AI algorithm used in this project can detect the defects on the wall automatically so that the worker can conduct the inspection work easily. The advanced AI-based perception algorithm can also guarantee centimeter-level location for the drone, which is better than other drones on the market.
|
| Additional Solution Information |
Additional information.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | The Hong Kong Productivity Council | | Address | : | HKPC Building, 78 Tat Chee Avenue, Kowloon Tong | | Contact Person | : | Dr. Ming Ge |
| Position | : | General Manager, Robotics and Artificial Intelligence Division | | Tel | : | 27886007 | | Email | : |
mingge@hkpc.org | | Webpage | : | www.hkpc.org/zh-HK/our-services/a-i-robotics |
|
